Bee Hive Monitor

A. Shaout, Nathan Schmidt
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引用次数: 3

Abstract

This paper will cover a project for a device that will monitor a beehive and give a status of the health and productivity of the hive to the beekeeper. Bee keeping is a very large industry with approximately 2.44 million bee colonies in the US. Bees are vital to our food supply. The value of pollination by bees in the US alone is estimated to be worth $16 billon. A phenomenon known as Colony Collapse Disorder (CCD) has brought significant loss to honeybee colonies. If a hive experiences CCD most of the bees will leave the hive for no apparent reason. It is imperative to understand a hive’s health and activities for a beekeeper to take care of the bees effectively. The system in this paper takes readings from inside the hive such as temperature, humidity, and noise. A camera is mounted on the outside of the hive to monitor bee activity and keep track of the activity at the beehive entrance. All this data is interpreted by algorithms that alert the beekeeper on the health of the hive. Some of these algorithms use machine learning to determine the health of the hive. This paper reviews various project currently in the market for beehive monitoring as well as a literature review of some of the research in bee monitoring systems.
蜂箱监测器
本文将介绍一种设备的项目,该设备将监测蜂箱并向养蜂人提供蜂箱的健康和生产力状态。养蜂是一个非常大的产业,在美国大约有244万个蜂群。蜜蜂对我们的食物供应至关重要。据估计,仅在美国,蜜蜂授粉的价值就高达160亿美元。一种被称为蜂群衰竭失调(CCD)的现象给蜂群带来了重大损失。如果一个蜂箱发生CCD,大多数蜜蜂会无缘无故地离开蜂箱。了解蜂箱的健康状况和活动对养蜂人有效地照顾蜜蜂是至关重要的。本文中的系统从蜂箱内部读取温度、湿度和噪音等数据。在蜂箱的外部安装了一个摄像头来监控蜜蜂的活动,并在蜂箱的入口处跟踪蜜蜂的活动。所有这些数据都由算法解释,提醒养蜂人蜂箱的健康状况。其中一些算法使用机器学习来确定蜂巢的健康状况。本文综述了目前市场上蜂窝监测的各种项目,并对蜜蜂监测系统的一些研究进行了文献综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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